Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

Autor: Kaisar Ahmad, S. P. Ahmad, A. Ahmed
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Journal of Probability and Statistics, Vol 2016 (2016)
Druh dokumentu: article
ISSN: 1687-952X
1687-9538
DOI: 10.1155/2016/7581918
Popis: Nakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. Also the simulation study is conducted in R software.
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